Causal Discovery on Irregular Time Series
By Martim Penim · Paper · cs.LG
Causal discovery methods have shown strong performance in temporal systems, but they typically rely on regular and discrete lag structures, limiting their applicability to regularly sampled data. However, many real-world tasks require dealing with irregularly sampled streams of e